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minor fix
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@@ -30,7 +30,7 @@
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"3. Give natural language feedback, and then pass that back to the agent\n",
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"\n",
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"\n",
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"We can implement these in LangGraph using a [`interrupt()`][langgraph.types.interrupt]. `interrupt` allows us to stop graph execution to collect input from a user and continue execution with collected input:\n",
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"We can implement these in LangGraph using the [`interrupt()`][langgraph.types.interrupt] function. `interrupt` allows us to stop graph execution to collect input from a user and continue execution with collected input:\n",
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"\n",
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"\n",
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"```python\n",
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@@ -19,7 +19,7 @@
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"\n",
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"**Human-in-the-loop (HIL)** interactions are crucial for [agentic systems](https://langchain-ai.github.io/langgraph/concepts/agentic_concepts/#human-in-the-loop). Waiting for human input is a common HIL interaction pattern, allowing the agent to ask the user clarifying questions and await input before proceeding. \n",
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"\n",
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"We can implement this in LangGraph using [`interrupt()`][langgraph.types.interrupt]: `interrupt` allows us to stop graph execution to collect input from a user and continue execution with collected input."
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"We can implement this in LangGraph using the [`interrupt()`][langgraph.types.interrupt] function. `interrupt` allows us to stop graph execution to collect input from a user and continue execution with collected input."
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]
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},
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{
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